SKILLEMALL.ai

BC 3x-ui

3x-ui面板REST API交互。用于管理Xray代理面板的入站/出站配置、客户端(用户)管理、节点管理、服务器状态监控、订阅管理、备份等功能。当用户需要操作3x-ui面板、查询代理服务器状态、管理用户/流量/订阅链接时使用。支持Bearer Token和Session Cookie两种认证方式。

ClawHub Agent Skills author: woodylan v1.0.0 MIT-0 7 files · 4 scripts body ≈ 1 509 tokens Open the sourceclawhub.ai analyzed 2 d ago

3x-ui面板REST API交互。用于管理Xray代理面板的入站/出站配置、客户端(用户)管理、节点管理、服务器状态监控、订阅管理、备份等功能。当用户需要操作3x-ui面板、查询代理服务器状态、管理用户/流量/订阅链接时使用。支持Bearer Token和Session Cookie两种认证方式。

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1509 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 150: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This skill is a coherent 3x-ui administration helper, but it exposes powerful panel operations and unsafe token handling without enough guardrails.
LLM: suspicious (high) · 31 Aug 2026